| Literature DB >> 35693804 |
Junjie Gu1, Chongying Su1, Fei Huang1, Yuwei Zhao2, Jing Li1.
Abstract
The immune system has evolved since the birth of humans. However, immune-related diseases have not yet been overcome due to the lack of expected indicators and targeting specificity of current medical technology, subjecting patients to very uncomfortable physical and mental experiences and high medical costs. Therefore, the requirements for treatments with higher specificity and indicative ability are raised. Fortunately, the discovery of and continuous research investigating circular RNAs (circRNAs) represent a promising method among numerous methods. Although circRNAs wear regarded as metabolic wastes when discovered, as a type of noncoding RNA (ncRNA) with a ring structure and wide distribution range in the human body, circRNAs shine brilliantly in medical research by virtue of their special nature and structure-determined functions, such as high stability, wide distribution, high detection sensitivity, acceptable reproducibility and individual differences. Based on research investigating the role of circRNAs in immunity, we systematically discuss the hotspots of the roles of circRNAs in immune-related diseases, including expression profile analyses, potential biomarker research, ncRNA axis/network construction, impacts on phenotypes, therapeutic target seeking, maintenance of nucleic acid stability and protein binding research. In addition, we summarize the current situation of and problems associated with circRNAs in immune research, highlight the applications and prospects of circRNAs in the treatment of immune-related diseases, and provide new insight into future directions and new strategies for laboratory research and clinical applications.Entities:
Keywords: autoimmune diseases; circRNAs; immune-related diseases; immunity; infectious diseases; tumor
Mesh:
Substances:
Year: 2022 PMID: 35693804 PMCID: PMC9174805 DOI: 10.3389/fimmu.2022.894707
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 8.786
Figure 1This figure shows the four main characteristics of circRNAs. (A) The ring structure is beneficial for the transportation, preservation, and analysis of samples. (B) The change in the amount of circRNAs can reflect the stage of disease to some extent. (C) CircRNAs are widely distributed and have high detection sensitivity. (D) CircRNAs are conserved, tissue- and spatiotemporal specific, resulting in acceptable reproducibility and individual differences.
Roles of circRNAs in four main immune-related diseases.
| Diseases | circRNAs | Functions | Related molecules | Related pathways | Ref |
|---|---|---|---|---|---|
| Organ-specific autoimmune diseases | |||||
| Multiple sclerosis | circ_0005402 | Potential biomarker | —— | —— | ( |
| circ_0035560 | |||||
| hsa_circ_0106803 | Potential biomarker | —— | —— | ( | |
| Primary biliary cholangitis | hsa_circ_402458 | Potential biomarker | —— | —— | ( |
| Lupus nephritis | circ_002453 | Potential biomarker | —— | —— | ( |
| Autoimmune myocarditis | circSnx5 | miRNA sponge | miR-544, SOCS1, PU.1 | JAK/STAT signaling pathway, MAPK signaling pathway | ( |
| Systemic autoimmune diseases | |||||
| Systemic lupus erythematosus | hsa_circ_0045272 | miRNA sponge | IL-2, hsa-miR-6127 | Apoptosis signaling pathway | ( |
| hsa_circ_0000479 | Potential biomarker | —— | —— | ( | |
| hsa_circ_0044235 | Potential biomarker | —— | —— | ( | |
| hsa_circ_0068367 | |||||
| circPTPN22 | Potential activity indicator | —— | —— | ( | |
| hsa_circ_407176 | Potential biomarker | —— | —— | ( | |
| hsa_circ_001308 | |||||
| Rheumatoid arthritis | hsa_circ_0001200 | Potential biomarker | —— | —— | ( |
| hsa_circ_0001566 | |||||
| hsa_circ_0003972 | |||||
| hsa_circ_0008360 | |||||
| hsa_circ_0000396 | Potential biomarker | —— | —— | ( | |
| hsa_circ_0130438 | |||||
| hsa_circ_0088036 | miRNA sponge | miR-140-3p, SIRT1 | AMPK signaling pathway, mTOR signaling pathway | ( | |
| Primary Sjögren's syndrome | hsa_circ_001264 | Potential biomarker | —— | —— | ( |
| hsa_circ_104121 | |||||
| hsa_circ_045355 | |||||
| Tumor immunology | |||||
| Laryngeal squamous cell carcinoma | hsa_circ_001569 | miRNA sponge | CD274, IL-10, FOXP3 | Th17 cell differentiation | ( |
| hsa_circ_001859 | |||||
| Pancreatic adenocarcinoma | circUBAP2 | miRNA sponge | CXCR4, ZEB1 | Wnt signaling pathway, MAPK signaling pathway | ( |
| Melanoma | circ_0020710 | miRNA sponge | miR-370-3p, CXCL12 | mTOR signaling pathway | ( |
| Non-small cell lung cancer | circMET | miRNA sponge | miR-145-5p, CXCL3 | TNF signaling pathway | ( |
| circFGFR1 | miRNA sponge | miR-381-3p, CXCR4 | HIF-1 signaling pathway, Wnt signaling pathway | ( | |
| Hepatocellular carcinoma | circUHRF1 | miRNA sponge, potential biomarker | miR-449c-5p, IFN-γ, TNF-α, TIM-3 | TNF signaling pathway, MAPK signaling pathway | ( |
| Colorectal cancer | circSPARC | miRNA sponge, protein binder, potential biomarker and therapeutic target | miR-485-3p, JAK2, STAT3, FUS | JAK/STAT signaling pathway | ( |
| Infectious diseases | |||||
| Pulmonary tuberculosis | hsa_circ_14623 | miRNA sponge, potential biomarker | —— | Endocytosis pathways in cancer, MAPK signaling pathway, HTLV-1 infection, and ubiquitin- mediated proteolysis signaling pathway | ( |
| hsa_circ_09585 | |||||
| hsa_circ_005538 | |||||
| hsa_circ_09993 | |||||
| hsa_circ_00074 | |||||
| hsa_circ_13478 | |||||
| hsa_circ_0005836 | potential biomarker and therapeutic target | —— | —— | ( | |
| Active tuberculosis | hsa_circ_001937 | potential biomarker | —— | —— | ( |
| Bacterial meningitis | hg38_circ_0002276 | miRNA sponge | hsa-miR-548o-3p | —— | ( |
| hg38_circ_0031043 | hsa-miR-548o-3p | ||||
| hg38_circ_ 0027134 | hsa-miR- 148a-3p | ||||
| hg38_circ_ 0032477 | hsa-miR- 148a-3p | ||||
| hg38_circ_0008980 | hsa-miR-660-5p | ||||
| hg38_circ_0001582 | hsa-miR-194-5p | ||||
| hg38_circ_0017427 | hsa-miR-107 | ||||
| Viral infection | circRNAs | interacting with proteins | K63, RIG-I, IRF3, NF90/110 | Innate immunity | ( |
| COVID-19 | Ppp1r10 | miRNA sponge | mmu-miR-124-3p, Ddx58, Gm26917 | Antiviral mechanism by IFN-stimulated genes | ( |
| C330019G07RiK | |||||
| Microbial infection | circRasGEF1B | maintaining the stability of the mature mRNA | ICAM-1, LPS, NF-κB | LPS pathway, NF-κB pathway, cell cycle, macrophage polarization | ( |
| Chlamydia infection | hsa_circ_001226 | miRNA sponge | —— | Endocytosis, MAPK and PI3P-Akt signaling pathway | ( |
| hsa_circ_007046 | |||||
| hsa_circ_400027 | |||||
Figure 2Main areas and research hotspots of the roles of circRNAs in immune-related diseases. Five main areas consist of organ-specific autoimmune diseases (A), systemic autoimmune diseases (B), tumor immunology (C), infectious diseases (D), and other studies (E). In summary, research hotspots of the roles of circRNAs in immune-related diseases include expression profile analyses, potential biomarker research, ncRNA axis/network construction, impacts on phenotypes, therapeutic target seeking, maintenance of nucleic acid stability and protein binding research.
Figure 3Important signaling pathways of circRNAs involved in the regulation of immune-related diseases. This figure shows how circRNAs influence immune-related diseases via a variety of signaling pathways, including the Wnt, TNF, NF-κB, JAK-STAT, mTOR, antiviral and antibacterial pathways. and the corresponding responses. Effects and processes are shown in light green rectangles, circRNAs are shown in red rectangles, miRNAs are shown in dark green rectangles, mRNAs are shown in yellow rectangles, and proteins are shown in blue rectangles. Different signaling pathways are distinguished by arrows and inhibitors of different colors. Solid lines represent direct interactions between molecules, while dotted lines represent indirect interactions.